Waterloo.AI hosts monthly seminar series to foster discussion and collaboration around active topics of AI research at the University of Waterloo. Each seminar includes a talk by a guest speaker audience discussion, and a following reception with light refreshments for further discussion and networking. Please click the topic links for details. Past seminar recordings are available on YouTube.
Upcoming Seminars
None for August. Check back here later for upcoming seminars in September!
Past Seminars
Spring 2023
| Date | Speaker | Topic | Video | |
|---|---|---|---|---|
| July. 21st, 2023 | Prof. Baoxiang Wang | Information Design in Multi-Agent Reinforcement Learning |
 |
|
|
July. 7th, 2023 |
Prof. Lili Mou | Modelling Uncertainty in Text Generation |
 |
|
|
June. 6th, 2023 |
Prof. Gennaro Notomista | Learning to Execute Prioritized Stacks of Robotic Tasks |
 |
|
|
May. 10th, 2023 |
Dr. Prashant Doshi | Fully Decentralized RL in Complex Multi-Agent Settings |
 |
Fall 2022
| Date | Speaker | Topic | Video | |
|---|---|---|---|---|
|
Dec.8th, 2022 |
Dr. Ali Ayub | Long-term Real World Autonomy Assistance for Assistive Robots |
 |
|
| Nov. 10th, 2022 |
Boris Ivanovic Research Scientist in Nvidia's Autonomous Vehicle Research Group | Effectively Integrating Behavior Prediction within the Modern Robotic Autonomy Stack |
 |
|
| Oct. 13th, 2022 | Prof. Abbas Houssam, Oregon State University | Logic-Based Computational Ethics for Autonomous Agents |
 |
|
| Sept. 8th, 2022 | Dr. Radoslav Ivanov | Safe autonomy within reach: a verified machine learning and control perspectiv |
 |
SPRING 2022
WINTER 2022
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Mar. 17, 2022 | Prof. Dorsa Sadigh | Learning from Non-Traditional Souces of Data |
 |
| Mar. 3, 2022 | Prof. Jackie C. K. Cheung | Keeping Track of Entities Over Time, Minds, and Knowledge Sources |
 |
| Feb. 3, 2022 | Prof. Martha White | Developing Reinforcement Learning Agents that Learn Many Subtasks |
 |
FALL 2021
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Nov. 9, 2021 | Prof. Elias Khalil | Deep Reinforcement Learning for Online Combinatorial Optimization: The Case of Bipartite Matching |
 |
SPRING 2021
| Date | Speaker | Topic | Video |
|---|---|---|---|
| May 18, 2021 | Prof. Katja Mombaur | Embodied intelligence for human-centred robots - Combining model-based optimization with model-free methods |
 |
WINTER 2021
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Apr. 20, 2021 | Animesh Garg | Building blocks of Generalizable Autonomy in Robotics |
 |
| Apr. 6, 2021 | Andreas Loukas | Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs |
 |
| Mar. 9, 2021 | Dr. Thomas Dietterich | Providing Prospective Guarantees on the Performance of MDP Policies |
 |
| Jan. 12, 2021 | Dr. Mark Riedl | The Quest for Automated Story Generation |
 |
FALL 2020
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Dec. 1, 2020 | Prof. Graham Taylor | Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation |
 |
| Nov. 19, 2020 | Prof. Peter van Beek, Prof. Hamid Tizhoosh, Prof. Kate Larson, Prof. Wayne Chang, Kevin Tuer (Communitech), & Prof. Charles Clarke | AI for Managers and Executives - Webinar Series Pt.3 - Preparing Your Organization to Leverage AI at Scale |
 |
| Nov. 5, 2020 |
Prof. Peter van Beek, Prof. Wayne Chang & Prof. Pascal Poupart Graduate Students: |
AI for Managers and Executives - Webinar Series Pt. 2 - From the Lab to Production |
 |
| Nov. 3, 2020 | Dr. Emtiyaz Khan | Towards Life-Long Deep Learning with Bayes |
 |
| Oct. 29, 2020 | Prof. Vijay Ganesh | Machine Learning and Logic Solvers: The Next Frontier | |
| Oct. 22, 2020 | Prof. Fakhri Karray & Prof. Hamid Tizhoosh | AI for Managers and Executives - Webinar Series Pt. 1 - Separating Fact From Fiction |
 |
| Oct. 6, 2020 | Prof. Taylor | Reinforcement learning in the real world - how to "cheat" and still feel good about it |
 |
| Sept. 15, 2020 | Dr. Ashkan Sami | Dependability and Security and How to Improve Both at the Same Time |
 |
WINTER 2020
FALL 2019
| Date | Speaker | Topic | Video |
|---|---|---|---|
| Dec. 6, 2019 | Qiang Liu | Recent Applications of Stein's Method in Machine Learning | |
| Dec. 5, 2019 | Kristian Kersting | Deep Machines That Know When They Do not Know | |
| Nov. 22, 2019 |
Paul Hebert |
Progress Towards Planetary Biosurveillance | |
| Nov. 8, 2019 | Chris Eliasmith | Spiking Neural Networks for More Efficient AI Algorithms |
 |
| Oct. 4, 2019 | Pascal Poupart | Unsupervised Video Object Segmentation for Deep Reinforcement Learning |
 |
| Sept. 12, 2019 | Mark Crowley | Artificial Intelligence on Fire! |
 |
SPRING 2019
WINTER 2019
FALL 2018
Organizing committee
Department of Electrical and Computer Engineering at the University of Waterloo.